导师姓名：夏勇
性别：
人气指数：53

所属院校：西北工业大学
所属院系：计算机学院
职称：教授
导师类型：
招生专业：计算机科学与技术


通讯方式 :
办公电话：**
电子邮件：yxia@nwpu.edu.cn


个人简述 :
2017年 西北工业大学优秀本科毕业生指导教师2016年 西北工业大学优秀本科毕业生指导教师2015年 西北工业大学优秀青年教师奖（吴亚军奖）一等奖2015年 西北工业大学优秀本科毕业生指导教师2014年 入选西北工业大学“翱翔青年学者”2013年 入选中组部第五批"青年千人"计划2010年 中国优秀博士学位论文提名奖2010年 陕西省优秀博士学位论文奖2007年 中国计算机学会优秀博士论文奖2006年 国防科工委“国防科学技术奖”三等奖2001年 全美大学生数学建模竞赛(ICM)一等奖2000年 全国大学生数学建模竞赛(CSIAM)一等奖

科研工作 :
·2013年12月–今教授西北工业大学计算机学院·2007年1月–13年12月博士后悉尼大学信息技术学院BMIT实验室·2004年11月–06年1月访问研修悉尼大学信息技术学院·2003年5月–11月访问研修香港理工大学电子资讯工程系 部分期刊论文38. Zhang J, Xia Y*, Xie Y, Fulham M, and Feng D, Classification of Medical Images in Biomedical Literature by Jointly Using Deep and Visual Features, IEEE-JBHI, in press. (JCR2区，IF=3.451)37. Jia H, Xia* Y, Song Y, Cai W, Fulham M, and Feng D, Atlas Registration and Ensemble Deep Convolutional Neural Network-based Prostate Segmentation Using Magnetic Resonance Imaging, Neurocomputing, in press. (JCR2区，IF=3.317)36. Xia Y*, Li Z, VBI-MRF Model for Image Segmentation, Multimedia Tools and Applications, in press. (JCR3区，IF=1.530)35. Xie Y, Xia Y*, Zhang J, Fulham M, and Zhang Y, Fusing Texture, Shape and Deep Model-Learned Information at Decision Level for Automated Classification of Lung Nodules on Chest CT, Information Fusion, 42:102-110, 2018. (JCR1区，IF=5.667)34. Li Z, Xia Y*, Ji Z, Zhang Y, Brain Voxel Classification in Magnetic Resonance Images Using Niche Differential Evolution Based Bayesian Inference of Variational Mixture of Gaussians, Neurocomputing, 269:47-57, 2017. (JCR2区，IF=3.317)33. Ji Z*, Xia Y*, Zheng Y, Robust generative asymmetric GMM for brain MR image segmentation, CMPB, 151:123-138, 2017. (JCR2区，IF=2.503)32. Ji Z*, Huang Y, Xia Y*, Zheng Y, A Robust Modified Gaussian Mixture Model with Rough Set for Image Segmentation, Neurocomputing, 266:500-565, 2017. (JCR2区，IF=3.317)31. Lu S, Xia Y*, Cai W*, Feng D, Fulham M, Early Identification of Mild Cognitive Impairment Using Incomplete Random Forest-Robust Support Vector Machine and FDG-PET Imaging, CMIG, 60: 35-41, 2017. (JCR4区，IF=1.738)30. Pan Y, Xia Y*, Zhou T, Fulham M, Cell Image Segmentation Using Bacterial Foraging Optimization, Applied Soft Computing, ASoC, 58:770-782, 2017. (JCR2区，IF=3.541)29. Ma B, Xia Y*, A Tribe Competition-Based Genetic Algorithm for Feature Selection in Pattern Classification, ASoC, 58:328-338, 2017. (JCR2区，IF=3.541)28. Dong P, Wang S*, Xia Y, Liang D, and Feng D, “Foreground Detection with Simultaneous Dictionary Learning and Historical Pixel Maintenance,” IEEE-TIP, 25(11):5035-5049, 2016. (JCR2区，IF=4.828)27. Xia Y*, Ji Z*, Zhang Y, Brain MRI Image Segmentation Based on Learning Local Variational Gaussian Mixture Models, Neurocomputing, 204: 189-197, 2016. (JCR2区，IF=3.317)26. Zheng C, Xia Y*, Pan Y, Chen J, Automated Identification of Dementia Using Medical Imaging: A Survey from a PatternClassification Perspective, Brain Informatics, 3(1):17-27, 2016.25. Zhang F*, Song Y, Cai W*, Liu S, Liu S, Pujol S, Kikinis R, Xia Y, Fulham M, Feng D, and ADNI, Pairwise Latent Semantic Association for Similarity Computation in Medical Imaging, IEEE-TBE, 63(5): 1058-69, 2016. (JCR2区，IF=3.577)24. Ji Z*, Xia Y*, Sun Q, Cao G and Chen Q, Active Contours Driven by Local Likelihood Image Fitting Energy for Image Segmentation, Information Sciences, 301: 285-304, 2015. (JCR1区，IF=4.832)23. Dong P, Xia Y*, Wang S, Zhuo L, and Feng D, An Iteratively Reweighting Algorithm for Dynamic Video Summarization, Multimedia Tools and Applications, 74(21):9449-73. (JCR3区，IF=1.530)22. Fu P, Li C, Xia Y, Ji Z, Sun Q*, Cai W, and Feng D, Adaptive noise estimation from highly textured hyperspectral images, Applied Optics, 53(30): 7059–71, 2014. (JCR3区，IF=1.650)21. Ji Z*, Xia Y*, Sun Q, and Cao G, Interval-valued possibilistic fuzzy C-means clustering algorithm, Fuzzy Sets and Systems, 253:138-156, 2014. (JCR1区，IF=2.718)20. Zhang T*, Xia Y, and Feng D, Hidden Markov Random Field Model Based Brain MR Image Segmentation Using Clonal Selection Algorithm and Markov Chain Monte Carlo Method, BSPC, 12:10-18, 2014. (JCR3区，IF=2.214)19. Ji Z, Xia Y*, Sun Q, Chen Q, Xia D, Feng D, Adaptive Scale Fuzzy Local Gaussian Mixture Model for Brain MR Image Segmentation, Neurocomputing, 134: 60-69, 2014. (JCR2区，IF=3.317)18. Zhang T, Xia Y*, and Feng D, A Clonal Selection Based Approach to Statistical Brain Voxel Classification in Magnetic Resonance Images, Neurocomputing, 134: 122-131, 2014. (JCR2区，IF=3.317)17. Wang S*, Xia Y, Dong P, Liu Q, and Feng D, Fenchel Duality Based Dictionary Learning for Restoration of Noisy Images IEEE-TIP, 22(12):5214–25, 2013. (JCR2区，IF=4.828)16. Wang S*, Liu Q, Xia Y, Luo J, and Feng D, Dictionary Learning Based Restoration of Magnetic Resonance Images via L1-L1 Minimization, Signal Processing, 93(9):2696–2708, 2013. (JCR2区，IF=3.110)15. Guo Z, Zhang Y, Xia Y, Lin Z, Fan Y, and Feng D, Multi-pose 3D face recognition based on 2D sparse representation, JVCI, 24(2): 117-126, 2013. (JCR3区，IF=2.164)14. Ji Z, Sun Q, Xia Y, Chen Q, Xia D, Feng D, Generalized rough fuzzy c-means algorithm for brain MR image segmentation, CMPB, 108(2): 644-655, 2012. (JCR2区，IF=2.503)13. Wang S, Xia Y, Liu Q, Luo J, Zhu Y, and Feng D, Gabor feature based nonlocal means filter for textured image denoising, JVCI, 23(7): 1008-18, 2012 (JCR3区，IF=2.164)12. Li C, Wang X, Xia Y, Eberl S, Yin Y, Feng D, Automated PET-guided liver segmentation from low-contrast CT volumes using probabilistic atlas, CMPB, 107(2): 164-174, 2012. (JCR2区，IF=2.503)11. Ji Z, Xia Y, Chen Q, Sun Q, and Xia D, Fuzzy C-Means Clustering with Weighted Image Patch for Image Segmentation, Applied Soft Computing, 12(6): 1659-67, 2012. (JCR2区，IF=3.541)10. Ji Z, Xia Y, Sun Q, Chen Q, Xia D, and Feng D, Fuzzy Local Gaussian Mixture Model for brain MR image segmentation, IEEE-TITB, 16(3): 339-347, 2012. (JCR2区，IF=3.451)9. Zhang Y, Guo Z, Xia Y, Lin Z, Feng D, 2D Representation of Facial Surfaces for Multi-Pose 3D Face Recognition, Pattern Recognition Letters, 33(5): 530-536, 2012. (JCR3区，IF=1.995)8. Xia Y, Wen L, Eberl S, Fulham M, and Feng D, Dual-modality brain PET-CT image segmentation based on adaptive use of functional and anatomical information, CMIG, 36(1): 47-53, 2012. (JCR4区，IF=1.738)7. Tian G, Xia Y, Zhang Y, and Feng D, Hybrid Genetic and Variational Expectation Maximization Algorithm for Gaussian Mixture Model Based Brain MR Image Segmentation, IEEE-TITB, 15(3): 373-380, 2011. (JCR2区，IF=3.451)6. Wang X, Fang C, Xia Y, Feng D, Airway Segmentation for Low-Contrast CT Images from Combined PET/CT Scanners Based on Airway Modelling and Seed Prediction, BSPC, 6(1): 48-56, 2011. (JCR3区，IF=2.214)5. Xia Y, Feng D, Zhao R, and Zhang Y, Multifractal Signature Estimation for Textured Image Segmentation, Pattern Recognition Letters, 31(2): 163-169, 2010. (JCR3区，IF=1.995)4. Xia Y, Feng D, Wang T, Zhao R, and Zhang Y, Image segmentation by clustering of spatial patterns, Pattern Recognition Letters, 28(12): 1548–55, 2007. (JCR3区，IF=1.995)3. Xia Y, Feng D, Zhao R, Adaptive segmentation of textured images by using the coupled Markov random field model, IEEE-TIP, 15(11): 3559–66, 2006. (JCR2区，IF=4.828)2. Xia Y, Feng D, Zhao R, Morphological multifractal estimation for image segmentation, IEEE-TIP, 15(3): 614–23, 2006. (JCR2区，IF=4.828)1. Xia Y, Feng D, Zhao R, and Petrou M, Learning-based algorithm selection for image segmentation, Pattern Recognition Letters, 26(8): 1059–68, 2005. (JCR3区，IF=1.995)部分会议论文7. Wang H, Xia Y*, Wang Z, Dictionary Learning-Based Image Compression, ICIP 2017.6. Wei J, and Xia Y*, Multi-scale Networks for Segmentation of Brain Magnetic Resonance Images, MICCAI-DLMIA 2017.?5. Xie Y, Xia Y*, Zhang J, Cai W, Fulham M, and Feng D, Transferable Multi-model Ensemble for Benign-Malignant Lung Nodule Classification on Chest CT, MICCAI 2017.4. Zeng H, Xia Y*, Space Target Recognition based on Deep Learning, Fusion 2017. (Oral)3. Jia H, Xia Y*, Cai W, Fulham M, Feng D, Prostate Segmentation in MR Images Using Ensemble Deep Convolutional Neural Networks, ISBI 2017. (Oral)2. Xie Y, Zhang J, Liu S, Cai W, and Xia Y*, Lung Nodule Classification by Jointly Using Visual Descriptors and Deep Features, MICCAI-MCV 2016. (Oral)1. Li N, and Xia Y*, Semi-Supervised Emotional Classification of Clolor Images By Learning From Cloud, ACII2015.

教育背景 :
·2003年-2007年：博士 （计算机科学与技术专业）? ?毕业院系：西北工业大学计算机学院·2001年-2004年：工学硕士（计算机应用技术专业）?毕业院系：西北工业大学计算机学院·1997年-2001年：工学学士（计算机及其应用专业）??毕业院系：西北工业大学实验班/计算机学院